SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 7751–7775 of 10817 papers

TitleStatusHype
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
How Self-Attention Improves Rare Class Performance in a Question-Answering Dialogue Agent—0
Towards Visual Dialog for Radiology—0
GLUECoS: An Evaluation Benchmark for Code-Switched NLP—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering—0
Knowledge-Aware Language Model Pretraining—0
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling—0
Improving VQA and its Explanations \\ by Comparing Competing Explanations—0
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance—0
Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering—0
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types—0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing LiteratureCode0
Match^2: A Matching over Matching Model for Similar Question Identification—0
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"—0
Memory TransformerCode0
IQA: Interactive Query Construction in Semantic Question Answering SystemsCode0
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?Code0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension—0
SPARQL query generation for complex question answering with BERT and BiLSTM-based model—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Results of the seventh edition of the BioASQ Challenge—0
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering—0
Selective Question Answering under Domain ShiftCode0
ORD: Object Relationship Discovery for Visual Dialogue Generation—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified